MoviCHTR

A conversational bot on movie thematics

the bot finds:
- movies a director is known for
- movies and actor is known for
- the release date of a movie if the movie title is provided
- the overview/plot of a movie if a title is provided
- searches for the rating of a movie based on movie title
- Finds popular movies by year
- engages in basic chit-chat

The project goal was to:

Understanding the Rasa framework
Installing the Rasa framework
Experience with manipulating language based data

Software used

Everything is programmed in python, to follow this project you need the following

Python <=3.6.8
Jupyter Notebook
Ngrok
Slack

The source tools used within Jupyter notebook are

rasa nlu
rasa core
rasa x

Additional support from:

text editor
web browser
terminal

File overview:

data/core/ - contains stories

data/nlu - contains example NLU training data

demo - contains custom action/api code

domain.yml - the domain file

config.yml - the Rasa config file

events. - files related to rasa x usage

Testing

Within jupyter notebooks comment out slack related code from within the loading assistant definition, engage with load_assistant()
outside of notebook launch rasa x for a webbrowser based testing and interactive learning
from slack: request server start and engage with @movichtr

More extended step by step information and visual tutorials provided within the notebook.